Mentions Tab

Using the Mentions Tab with the Dashboard

Combine high level dashboards with detailed mentions to tell a complete story.

Move from dashboard patterns to the individual mentions that explain those patterns.

The dashboard shows what changed. The Mentions tab shows why it changed. Use them together whenever you need evidence for a report, alert, escalation, or strategic decision.

1. Start With The Dashboard

  1. Open the saved search or project.
  2. Set the date range.
  3. Review Overview KPI tiles for mention count, influence, reach, interactions, polarity, and sentiment.
  4. Check the trend charts for spikes, drops, or unusual periods.
  5. Use timeframe controls such as 1D, 1W, 1M, 1Q, or 1Y to regroup time-series charts.
  6. Identify the chart, metric, platform, topic, domain, hashtag, or demographic segment that needs explanation.

Do not export immediately after seeing a spike. First inspect the mentions behind it.

2. Apply Filters Before Opening Mentions

Filters help keep the mention review focused.

Common drill-down filters:

  • Date range around a spike.
  • Sentiment, especially negative or positive.
  • Platform or source.
  • Domain or author.
  • Mention type, such as posts or comments.
  • Hashtag, topic, subtopic, or intent.
  • Reach or priority.
  • Scam or suspicious content where available.

After applying filters, the Mentions tab will show a narrower set of records that better matches the question.

3. Review The Mentions Tab

  1. Open Mentions.
  2. Sort by newest when monitoring live activity.
  3. Sort by influence or engagement when looking for the drivers of a spike.
  4. Search inside the mentions for specific keywords, handles, or hashtags.
  5. Open high-value mentions with Visit to check the original source.
  6. Use Set sentiment if an important mention is misclassified.
  7. Use Add Tag to classify examples.
  8. Use Add to Report for representative evidence.
  9. Use Reply, Generate Response, and Send where supported and appropriate.

The goal is not to read every mention. The goal is to find the examples that explain the pattern accurately.

4. Connect Examples Back To Charts

When you find useful mentions, ask:

  • Did these mentions happen during the same spike shown in the trend chart?
  • Are they from the same platform or domain driving the chart movement?
  • Do they match the sentiment shown in the sentiment analysis?
  • Are they high reach, high influence, or high engagement?
  • Are they representative, or are they unusual outliers?

Use representative examples in reports. Keep outliers for internal review unless the report is specifically about exceptions.

5. Use Kommon Poll AI With The Same Context

After filtering and reviewing mentions, use Kommon Poll AI to summarize the same context.

Good prompts:

Summarize the main reasons negative sentiment increased in this filtered result set.
Which platforms and mention examples explain the spike in reach?
What are the most common customer intents in these mentions?
Draft a short executive summary using the current dashboard context and mention examples.

Verify AI claims against charts and cards before sending the output to stakeholders.

6. Build A Report From The Combined View

A strong report section usually includes:

  1. The chart or KPI that shows the pattern.
  2. A short explanation of what changed.
  3. Two or three mention examples.
  4. A note on source, sentiment, reach, or priority.
  5. Recommended next action.

Use Add to Report while reviewing mention cards so the examples are ready when you export PDF or Slides.

7. Common Workflows

For a negative spike:

  1. Set the spike date range.
  2. Filter sentiment to negative.
  3. Sort mentions by influence or engagement.
  4. Tag root-cause examples.
  5. Ask Kommon Poll AI for themes.
  6. Export a PDF with the relevant sections.

For a campaign success story:

  1. Filter by campaign hashtag or topic.
  2. Review reach, interactions, and positive sentiment.
  3. Sort mentions by engagement.
  4. Add high-quality positive examples to a report.
  5. Export Slides for the campaign readout.

For scam or priority review:

  1. Filter by priority or scam indicators.
  2. Open original sources.
  3. Tag confirmed cases.
  4. Escalate through the team's internal process.
  5. Share a Mention Wall only with the teams that need live awareness.